ISCA Archive ICSLP 1992
ISCA Archive ICSLP 1992

A trellis-based language model for speech recognition

Nick Waegner, Steve J. Young

This paper discusses tree and trellis-based models as alternatives to conventional n-gram models as the basis for language modelling in automatic speech recognition. The advantage of these models lies in their compactness and the manner in which extended context is used to enhance performance. The latter is confirmed by experiment using models trained and tested on subsets of the Lancaster-Oslo/Bergen corpus.


doi: 10.21437/ICSLP.1992-70

Cite as: Waegner, N., Young, S.J. (1992) A trellis-based language model for speech recognition. Proc. 2nd International Conference on Spoken Language Processing (ICSLP 1992), 245-248, doi: 10.21437/ICSLP.1992-70

@inproceedings{waegner92_icslp,
  author={Nick Waegner and Steve J. Young},
  title={{A trellis-based language model for speech recognition}},
  year=1992,
  booktitle={Proc. 2nd International Conference on Spoken Language Processing (ICSLP 1992)},
  pages={245--248},
  doi={10.21437/ICSLP.1992-70}
}